Skip to main content

Probabilistic and pluralistic learners with mind changes

Extended abstract

  • Conference paper
  • First Online:
Mathematical Foundations of Computer Science 1992 (MFCS 1992)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 629))

Abstract

We consider the learning capabilities of FIN- type learners when they are allowed to change their hypothesis at most once. We consider probabilistic learners of this sort as well as pluralistic learners (i.e., teams of deterministic learners). We show for probabilities in the interval (5/6, 1] that the capabilities of the probabilistic learners are precisely divided into intervals of the form (5n+6/6n+7, 5n+1/6n+1] for all n≥0. We show that teams of such learners with plurality r/s (i.e., a team of s learners such that at least τ always successfully learn) are equivalent to probabilistic learners with probability of success τ/s. We also show that at the ratio 5/6 redundancy pays for team learners (i.e., a team with plurality 10/12 is more powerful than a team with plurality 5/6). Moreover, for any r and s with r/s=5/6 we show that any team of learners with plurality r/s is equivalent to a team with plurality 5/6 if r is odd, and to a team with plurality 10/12 if r is even.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. R. Daley, and B. Kalyanasundaram, Capabilities of Probabilistic Learners with Bounded Mind Changes, Submitted for Publication.

    Google Scholar 

  2. R. Daley, B. Kalyanasundaram, and M. Velauthapillai, Breaking the probability 1/2 barrier in FIN-type learning, In Proceedings of the 1992 Workshop on Computational Learning Theory, 1992.

    Google Scholar 

  3. R. Daley, B. Kalyanasundaram, and M. Velauthapillai, The Power of Probabilism in Popperian FINite Learning, to appear in AII, 1992.

    Google Scholar 

  4. R. Daley, L. Pitt, M. Velauthapillai, and T. Will, Relations between probabilistic and team one-shot learners, In Proceedings of the 1991 Workshop on Computational Learning Theory, pages 228–239, 1991.

    Google Scholar 

  5. R.V. Freivalds, Finite Identification of General Recursive Functions by Probabilistic Strategies, Akademie Verlag, Berlin, 1979.

    Google Scholar 

  6. E. M. Gold, Language identification in the limit, Information and Control, 10:447–474, 1967.

    Article  MATH  Google Scholar 

  7. S. Jain, and A. Sharrna, Finite learning by a team, In Proceedings of the 1990 Workshop on Computational Learning Theory, pages 163–177, 1990.

    Google Scholar 

  8. L. Pitt, Probabilistic inductive inference, J. ACM, 36(2):383–433, 1989.

    Article  MATH  MathSciNet  Google Scholar 

  9. L. Pitt, and C. Smith, Probability and plurality for aggregations of learning machines, Information and Computation, 77(1):77–92, 1988.

    Article  MATH  MathSciNet  Google Scholar 

  10. C. H. Smith, The power of pluralism for automatic program synthesis, J. ACM, 29:1144–1165, 1982.

    Article  MATH  Google Scholar 

  11. M. Velauthapillai, Inductive inference with a bounded number of mind changes, In Proceedings of the 1989 Workshop on Computational Learning Theory, pages 200–213, 1989.

    Google Scholar 

  12. R. Wiehagen, R. Freivalds, and E. Kinber, On the power of probabilistic strategies in inductive inference, Theoretical Computer Science, 111–113, 1984.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Ivan M. Havel Václav Koubek

Rights and permissions

Reprints and permissions

Copyright information

© 1992 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Daley, R., Kalyanasundaram, B. (1992). Probabilistic and pluralistic learners with mind changes. In: Havel, I.M., Koubek, V. (eds) Mathematical Foundations of Computer Science 1992. MFCS 1992. Lecture Notes in Computer Science, vol 629. Springer, Berlin, Heidelberg . https://doi.org/10.1007/3-540-55808-X_20

Download citation

  • DOI: https://doi.org/10.1007/3-540-55808-X_20

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-55808-8

  • Online ISBN: 978-3-540-47291-9

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics